ertk.pytorch.train.PyTorchDataConfig

class ertk.pytorch.train.PyTorchDataConfig(train_data_processing: dict[str, ertk.pytorch.train.PyTorchDataAugConfig] = <factory>, valid_data_processing: dict[str, ertk.pytorch.train.PyTorchDataAugConfig] = <factory>, test_data_processing: dict[str, ertk.pytorch.train.PyTorchDataAugConfig] = <factory>)

Bases: ERTKConfig

__init__(train_data_processing: dict[str, ertk.pytorch.train.PyTorchDataAugConfig] = <factory>, valid_data_processing: dict[str, ertk.pytorch.train.PyTorchDataAugConfig] = <factory>, test_data_processing: dict[str, ertk.pytorch.train.PyTorchDataAugConfig] = <factory>) → None

Methods

__init__([train_data_processing, ...])

Inherited Methods

`default`()	Create default config.
`from_config`(config)	Create config object from any compatible config.
`from_file`(path)	Create config from YAML file and optionlly override some values.
`merge_with_args`(args)	Merge config with command-line arguments.
`merge_with_config`(config)	Merge other config into this config.
`to_dictconfig`()	Convert config to DictConfig.
`to_file`(path)	Write config to YAML file.
`to_string`()	Generate YAML string representation of config.

Attributes

`train_data_processing`
`valid_data_processing`
`test_data_processing`